22strongestme / LOCO-Annotations
The LOCO-Annotations dataset is a specialized extension of the MVTec LOCO dataset, focusing on detecting and analyzing high-level semantic logical anomalies in industrial settings. This dataset provides detailed annotations designed to evaluate and improve logical anomaly detection methods.
☆12Updated 3 months ago
Related projects: ⓘ
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆17Updated 9 months ago
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆19Updated last week
- ☆38Updated 3 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆34Updated 10 months ago
- [TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆61Updated last year
- [KBS 2022] Informative knowledge distillation for image anomaly segmentation☆20Updated 2 years ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆20Updated 7 months ago
- PFM and PEFM for Image Anomaly Detection and Segmentation☆32Updated last year
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆28Updated 2 weeks ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆44Updated last year
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆75Updated last week
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆49Updated last year
- Evaluation Tool for Anomaly Detection Research☆12Updated 4 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆38Updated 4 months ago
- A sequence normalizing flow framework with memory saving, automatic Jacobian tracking, and object-oriented programming features.☆39Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆38Updated 2 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆35Updated last week
- ☆21Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆19Updated 6 months ago
- The official implementation of the paper DADF for industrial VAD☆11Updated 9 months ago
- ☆19Updated last year
- Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆81Updated 5 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆78Updated 2 weeks ago
- ☆16Updated last year
- The official repository of Continuous Memory Representation for Anomaly Detection☆16Updated last month
- ☆65Updated 10 months ago
- Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection☆24Updated last month
- ☆31Updated 10 months ago
- ☆44Updated 2 months ago
- Uniformaly: Towards Task-Agnostic Unified Anomaly Detection☆12Updated last year